Tamil Vowel Recognition With Augmented MNIST-like Data Set

• URL: http://arxiv.org/abs/2006.08367v2
• Date: Tue, 16 Jun 2020 19:20:09 GMT
• Title: Tamil Vowel Recognition With Augmented MNIST-like Data Set
• Authors: Muthiah Annamalai
• Abstract summary: We report the capability of the 60,000 grayscale, 28x28 pixel to build a 92% accuracy dataset. We also report a top-1 classification accuracy of 70% and top-2 classification accuracy of 92% on handwritten vowels, for the same network.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We report generation of a MNIST [4] compatible data set [1] for Tamil vowels to enable building a classification DNN or other such ML/AI deep learning [2] models for Tamil OCR/Handwriting applications. We report the capability of the 60,000 grayscale, 28x28 pixel dataset to build a 92% accuracy (training) and 82% cross-validation 4-layer CNN, with 100,000+ parameters, in TensorFlow. We also report a top-1 classification accuracy of 70% and top-2 classification accuracy of 92% on handwritten vowels showing, for the same network.

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